Search the 13 jobs at Applied Materials

The role involves developing code for software product development and testing, including automation tools, performance testing, and participation in the full software development lifecycle. The engineer will collaborate with internal customers and troubleshoot software problems.

As a Software Engineer at Applied Materials, you will engage in all phases of software development, including design, coding, testing, and performance tuning. Responsible for both development and testing, you will interface with customers to analyze requirements and troubleshoot software problems. Strong programming skills in React Js or Angular Js are essential, along with adaptability to the full technology stack in an agile environment.

The DevOps Engineer at Applied Materials will handle build and release activities, support timely deliveries, automate manual tasks, maintain and enhance software installers, and engage with global teams to fulfill their requirements.

The Test Automation Engineers at Applied Materials will develop automation frameworks for web applications and backend APIs, utilizing tools like Selenium and JMeter. They will need to have experience with BDD frameworks and work on optimizing semiconductor processes through an ML/AI data analytics platform.

The Test Automation Engineer will develop test automation for web applications and backend APIs. This involves using UI test frameworks like Selenium and Playwright, BDD frameworks like Behave, and load testing frameworks such as JMeter. The role is part of an AIx Products team focusing on advanced semiconductor technology.

The React Developer will be responsible for developing web applications using the React platform, JavaScript, and HTML/CSS. They will collaborate with the AIx Products group to innovate semiconductor processes through a ML/AI Data Analytics platform.

The CI/CD DevOps Engineer at Applied Materials will work on developing and managing CI/CD pipelines, building Linux containers for web applications, and enhancing DevSecOps processes. The role emphasizes optimizing semiconductor technologies and improving deployment strategies for AIx products in a collaborative team environment.

The Database Engineer will work with columnar, relational, and document databases, focusing on the setup, scaling, and maintenance of Clickhouse and MongoDB. They will also engage in schema development and performance optimization in the AIx Products group, aimed at improving semiconductor processes.

As an AWS DevOps Engineer at Applied Materials, you will be responsible for deploying applications using Kubernetes (K8S), managing AWS infrastructure, and configuring storage solutions in AWS S3. You will work on enhancing AIx, an ML/AI data analytics platform, by optimizing semiconductor processes and ensuring efficient application performance.

The Angular Developer will be responsible for designing and delivering complex enterprise applications using Angular and NodeJS. Key duties include implementing TDD practices, managing REST API integrations, and ensuring high-quality documentation. Strong design thinking and communication skills are essential for collaborating with stakeholders and team members.

The Senior Backup/Storage Engineer will manage backup and storage systems, ensuring robust data protection and recovery processes. The role involves supporting cloud and on-premises data center operations, maintaining software such as ECS, Avamar, and Networker, and troubleshooting backup systems and configurations while ensuring optimal performance of storage solutions like Netapp and EMC systems.

This role involves developing test automation for AIx products at Applied Materials, requiring collaboration with stakeholders, creating and executing automation tests, and supporting overall QA processes. Applicants should have strong skills in modern JavaScript frameworks, browser testing, and API testing, along with knowledge of various testing tools and practices.

As a Python Lead at Applied Materials, you'll develop and deploy AI-driven data analytics within the semiconductor process. Key responsibilities include understanding software requirements, engaging with stakeholders, maintaining coding standards, and participating in technical discussions.